KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #developer-tools #ai-agent #claude-code #codex #typescript #ai-agents #deepseek-harness #mcp #cli #rust

taipan

★ 32 Open GitHub ↗

Image Annotations in R

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Taipan <img src="man/figures/taipan.png" align="right" />

[![Travis build
status](https://travis-ci.org/srkobakian/taipan.svg?branch=master)](https://travis-ci.org/srkobakian/taipan)
[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/taipan)](https://cran.r-project.org/package=taipan)
[![Downloads](http://cranlogs.r-pkg.org/badges/taipan?color=brightgreen)](https://cran.r-project.org/package=taipan)

Taipan is a Tool for Annotating Images in Preparation for ANalysis.

The Taipan package creates simple shiny surveys. The web applications
can be used locally or deployed and allow people to save survey results
as tidy data that is ready to use for analysis.

The app was initially created to streamline the process of manually
tagging images to create a training set. It allows users to provide
information regarding entire images, and smaller regions within. It is a
survey style tool, with questions being posed for each image and area
identified.

## Installation

You can install the **stable** version from
[CRAN](https://cran.r-project.org/package=taipan).

``` r
install.packages('taipan')
```

You can install the development version from Github using:

``` r
# install.packages("devtools")
devtools::install_github("srkobakian/taipan")
```

## Usage

Taipan builds a shiny app suitable for annotating images. Questions can
be provided for two scenarios in the app: ‘scene’ and ‘selection’. Scene
questions are suitable for questions that apply to the whole image, and
are shown when no selection is made. Selection questions are appropriate
for selected areas of the image, and are shown when a selection is made.

These lists of questions can be flexibly produced using the
`taipanQuestions` function, where any shiny inputs and web elements can
be used to build your own survey UI. For example, to train a model for
identifying hotdogs and condiments, you could use this interface:

``` r
library(taipan)
library(shiny)
questions <- taipanQuestions(
  scene = sliderInput("quality", label = "Image Quality",
                      min = 0, max = 10, value = 5),
  selection = div(
    radioButtons("hotdog", label = "Hotdog?",
                 choices = list("Hotdog", "Not hotdog")),
    checkboxGroupInput("extra", label = "Condiments",
                       choices = list("Onion", "Tomato (Ketchup)", "Barbeque", "Mustard"))
  )
)
```

To build a taipan app with these questions, we can use the `buildTaipan`
function and provide a set of images to annotate. These images can be
provided locally, or via links to the web. You can specify where the app
will be created with the `appdir` argument.

``` r
buildTaipan(
  questions = questions,
  images = c("https://raw.githubusercontent.com/srkobakian/taipan/master/sample_images/hotdog.jpg",
             "https://raw.githubusercontent.com/srkobakian/taipan/master/sample_images/not_hotdog.jpg"),
  appdir = file.path(tempdir(), "taipan"), overwrite = TRUE
)
```

![Example App Screenshot](https://raw.githubusercontent.com/srkobakian/taipan/master/man/figures/readme_app.png)

taipan

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README